INTERNSHIP DETAILS

Master Thesis Worker, Sound Experiences Lab

CompanyDolby Laboratories, Inc.
LocationNuremberg
Work ModeOn Site
PostedDecember 13, 2025
Internship Information
Core Responsibilities
The thesis project will involve conducting a literature review, reproducing and extending existing research approaches, and proposing and prototyping new ideas. Additionally, the role includes assisting in the collection and processing of datasets and implementing, training, and evaluating machine learning models.
Internship Type
full time
Company Size
2012
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
We're the rain on the roof in a movie. The music flowing through your earbuds when you're at the gym. The footsteps lurking behind you in a video game. The voice of a colleague on a call who seems to be right next to you. The sight of a breathtakingly bright and vivid sunset on your TV. Making experiences come alive through technology is what we do. It's been our mission since day one. It began with our founder, Ray Dolby, a visionary scientist and inventor. As a young engineer and music lover, he was driven to improve the listening experience. And with that simple motivation, plus countless hours of experimentation, he created a solution—a solution that was elegant and practical, highly sophisticated, and wholly devoted to the artist's vision. Even as we've become a global company, Dolby Laboratories continues to reflect Ray Dolby's values. Here, science meets art. And high tech goes far beyond computer code. Founded in 1965 and headquartered in San Francisco, Dolby has grown into a leading global innovator and developer of audio, imaging and voice technologies for cinema, home theaters, PCs, mobile phones, and games. Our products include Dolby Digital Plus, TrueHD, Dolby Voice, Dolby Atmos and Dolby Vision. Today, over 2,000 individuals around the globe share their talents and energy to enable the most immersive experiences that technology can deliver.
About the Role

Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you’ll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. We’re big enough to give you all the resources you need, and small enough so you can make a real difference and earn recognition for your work. We offer a collegial culture, challenging projects, and excellent compensation and benefits, not to mention a Flex Work approach that is truly flexible to support where, when, and how you do your best work.

 

Summary

Dolby’s Sound Experiences Lab in Nürnberg specializes in audio codecs and their sonic quality evaluation. We apply modern deep learning techniques to advance the state of the art in audio coding performance and develop systems to evaluate audio quality. We are passionate about exploring and building new possibilities enabled by emerging technologies.

 

This thesis project will focus on exploring and developing a novel approach for predicting audio quality by leveraging latest tools and methodologies.

 

Responsibilities:

  • Conduct a literature review on related research.
  • Reproduce and extend existing research approaches.
  • Propose and prototype new ideas.
  • Assist in the collection and processing of datasets.
  • Implement, train, and evaluate machine learning models.

 

Requirements:

  • Currently enrolled in a Master’s program in Computer Science, Machine Learning, Statistics, Electrical Engineering, or a related technical field.
  • Strong knowledge of machine learning and deep learning concepts.
  • Familiarity with one or more neural network frameworks (e.g., TensorFlow, PyTorch).
  • Genuine interest in audio and/or media, with awareness of AI-related developments and trends.

 

Dolby Hiring Entity:
Marienbergstrasse 98, 90411
Nuremberg
Germany

 

 

Key Skills
Machine LearningDeep LearningNeural NetworksTensorFlowPyTorchAudioMediaAI
Categories
TechnologyScience & ResearchCreative & MediaEngineering
Benefits
Excellent CompensationBenefitsFlex Work Approach